公开(公告)号：US20170061025A1

公开(公告)日：2017-03-02

申请号：US15350377

申请日：2016-11-14

Applicant: Google Inc.

Inventor： Neha Arora ,  Ke Yang ,  Zuguang Yang

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/30241 ,  G06F17/30424 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/30864

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enforcing the category diversity or sub-category diversity of POIs that are identified in response to a local search. According to one implementation, a method includes receiving a request to identify points of interest (POIs), obtaining data identifying (i) candidate points of interest (POIs) that satisfy the request, (ii) a respective category associated with each candidate POI, and (iii) a non-scaled score associated with each candidate POI, and ranking, for each of one or more of the categories, the candidate POIs associated with the category, based on the respective non-scaled scores. The method also includes scaling, for each of the one or more categories, the non-scaled scores of the ranked candidate POIs associated with the category, ranking the candidate POIs using the scaled scores, for the candidate POIs that are associated with the one or more categories, and the non-scaled scores, for the candidate POIs that are not associated with the one or more categories, and providing data that identifies two or more of the candidate POIs, as ranked according to the scaled scores and the non-scaled scores.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于执行响应于本地搜索而识别的POI的类别分集或子类别多样性。 根据一个实施方式，一种方法包括接收识别兴趣点（POI）的请求，获得识别（i）满足该请求的候选兴趣点（POI）的数据，（ii）与每个候选POI相关联的相应类别， 以及（iii）与每个候选POI相关联的非缩放分数，并且基于相应的非缩放分数，针对所述类别中的一个或多个类别中的每一个对与该类别相关联的候选POI进行排名。 该方法还包括对于所述一个或多个类别中的每一个，对与该类别相关联的排名候选POI的未缩放分数进行缩放，使用缩放分数对与候选POI相关联的候选POI进行排序， 更多类别以及与该一个或多个类别不相关联的候选POI的非缩放分数，以及提供标识候选POI中的两个或更多个的数据，如根据缩放分数和未缩放分数 分数。